81 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in Netherlands
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University of Amsterdam | Amsterdam Noord west, Provincie Noord-Holland | Netherlands | about 5 hours ago
English and enjoy working in a collaborative research environment. It is a plus—not a requirement—if you are familiar with cosmological or N-body simulations, gravitational wave data analysis, or dark
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evaluate educational materials and experimental tasks, analyse behavioural data, apply computational modelling techniques, and write scientific articles that will form the basis of your dissertation. You
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establish new paradigms that explain why some repeat RNAs are toxic while others are not. Your responsibilities include: Independently conducting experimental work and performing data analysis
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candidates with: An MSc degree in (or nearing completion of) an MSc program in Geoinformatics, Computer Science, (Quantitative) Geography, (Spatial / Geographic) Data Science, Environmental Science, or a
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materials science, powder technology, additive manufacturing, and data science. Silicon carbide is widely used in demanding thermal, structural, and electronic applications, yet its production is energy
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often prioritised by survivors but politically sensitive. So far there is no consensus or empirical data on how reparations could address colonial legacies. This important question will guide your PhD
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fieldwork and analysis of sampled data, experiments at the Metronome (our world-renowned tilting tidal flume at Utrecht University) and stakeholder workshops. We also aim to set up a citizen science
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of studies (including a scoping review, experimental laboratory research, qualitative interviews and intervention development); recruiting participants and coordinating data collection in laboratory
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coordinating data collection; examining teaching practices informed by Universal Design for Learning, the sensory environment and social inclusion; developing and applying multilevel models that capture
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data collections that can serve as references for future studies, (ii) enhancing the understanding of physical mechanisms and causal pathways to strengthen attribution analyses and model development